Consensus-based guidance for conducting and reporting multi-analyst studies

Any large dataset can be analyzed in a number of ways, and it is possible that the use of different analysis strategies will lead to different results and conclusions. One way to assess whether the results obtained depend on the analysis strategy chosen is to employ multiple analysts and leave each...

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Autores principales: Balazs Aczel, Barnabas Szaszi, Gustav Nilsonne, Olmo R van den Akker, Casper J Albers, Marcel ALM van Assen, Jojanneke A Bastiaansen, Daniel Benjamin, Udo Boehm, Rotem Botvinik-Nezer, Laura F Bringmann, Niko A Busch, Emmanuel Caruyer, Andrea M Cataldo, Nelson Cowan, Andrew Delios, Noah NN van Dongen, Chris Donkin, Johnny B van Doorn, Anna Dreber, Gilles Dutilh, Gary F Egan, Morton Ann Gernsbacher, Rink Hoekstra, Sabine Hoffmann, Felix Holzmeister, Juergen Huber, Magnus Johannesson, Kai J Jonas, Alexander T Kindel, Michael Kirchler, Yoram K Kunkels, D Stephen Lindsay, Jean-Francois Mangin, Dora Matzke, Marcus R Munafò, Ben R Newell, Brian A Nosek, Russell A Poldrack, Don van Ravenzwaaij, Jörg Rieskamp, Matthew J Salganik, Alexandra Sarafoglou, Tom Schonberg, Martin Schweinsberg, David Shanks, Raphael Silberzahn, Daniel J Simons, Barbara A Spellman, Samuel St-Jean, Jeffrey J Starns, Eric Luis Uhlmann, Jelte Wicherts, Eric-Jan Wagenmakers
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Lenguaje:EN
Publicado: eLife Sciences Publications Ltd 2021
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Acceso en línea:https://doaj.org/article/2f33a9be099441798c65209457b94d1c
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spelling oai:doaj.org-article:2f33a9be099441798c65209457b94d1c2021-11-26T11:03:35ZConsensus-based guidance for conducting and reporting multi-analyst studies10.7554/eLife.721852050-084Xe72185https://doaj.org/article/2f33a9be099441798c65209457b94d1c2021-11-01T00:00:00Zhttps://elifesciences.org/articles/72185https://doaj.org/toc/2050-084XAny large dataset can be analyzed in a number of ways, and it is possible that the use of different analysis strategies will lead to different results and conclusions. One way to assess whether the results obtained depend on the analysis strategy chosen is to employ multiple analysts and leave each of them free to follow their own approach. Here, we present consensus-based guidance for conducting and reporting such multi-analyst studies, and we discuss how broader adoption of the multi-analyst approach has the potential to strengthen the robustness of results and conclusions obtained from analyses of datasets in basic and applied research.Balazs AczelBarnabas SzasziGustav NilsonneOlmo R van den AkkerCasper J AlbersMarcel ALM van AssenJojanneke A BastiaansenDaniel BenjaminUdo BoehmRotem Botvinik-NezerLaura F BringmannNiko A BuschEmmanuel CaruyerAndrea M CataldoNelson CowanAndrew DeliosNoah NN van DongenChris DonkinJohnny B van DoornAnna DreberGilles DutilhGary F EganMorton Ann GernsbacherRink HoekstraSabine HoffmannFelix HolzmeisterJuergen HuberMagnus JohannessonKai J JonasAlexander T KindelMichael KirchlerYoram K KunkelsD Stephen LindsayJean-Francois ManginDora MatzkeMarcus R MunafòBen R NewellBrian A NosekRussell A PoldrackDon van RavenzwaaijJörg RieskampMatthew J SalganikAlexandra SarafoglouTom SchonbergMartin SchweinsbergDavid ShanksRaphael SilberzahnDaniel J SimonsBarbara A SpellmanSamuel St-JeanJeffrey J StarnsEric Luis UhlmannJelte WichertsEric-Jan WagenmakerseLife Sciences Publications Ltdarticlemulti-analystmetasciencestatistical practicescience forumexpert consensusanalytical variabilityMedicineRScienceQBiology (General)QH301-705.5ENeLife, Vol 10 (2021)
institution DOAJ
collection DOAJ
language EN
topic multi-analyst
metascience
statistical practice
science forum
expert consensus
analytical variability
Medicine
R
Science
Q
Biology (General)
QH301-705.5
spellingShingle multi-analyst
metascience
statistical practice
science forum
expert consensus
analytical variability
Medicine
R
Science
Q
Biology (General)
QH301-705.5
Balazs Aczel
Barnabas Szaszi
Gustav Nilsonne
Olmo R van den Akker
Casper J Albers
Marcel ALM van Assen
Jojanneke A Bastiaansen
Daniel Benjamin
Udo Boehm
Rotem Botvinik-Nezer
Laura F Bringmann
Niko A Busch
Emmanuel Caruyer
Andrea M Cataldo
Nelson Cowan
Andrew Delios
Noah NN van Dongen
Chris Donkin
Johnny B van Doorn
Anna Dreber
Gilles Dutilh
Gary F Egan
Morton Ann Gernsbacher
Rink Hoekstra
Sabine Hoffmann
Felix Holzmeister
Juergen Huber
Magnus Johannesson
Kai J Jonas
Alexander T Kindel
Michael Kirchler
Yoram K Kunkels
D Stephen Lindsay
Jean-Francois Mangin
Dora Matzke
Marcus R Munafò
Ben R Newell
Brian A Nosek
Russell A Poldrack
Don van Ravenzwaaij
Jörg Rieskamp
Matthew J Salganik
Alexandra Sarafoglou
Tom Schonberg
Martin Schweinsberg
David Shanks
Raphael Silberzahn
Daniel J Simons
Barbara A Spellman
Samuel St-Jean
Jeffrey J Starns
Eric Luis Uhlmann
Jelte Wicherts
Eric-Jan Wagenmakers
Consensus-based guidance for conducting and reporting multi-analyst studies
description Any large dataset can be analyzed in a number of ways, and it is possible that the use of different analysis strategies will lead to different results and conclusions. One way to assess whether the results obtained depend on the analysis strategy chosen is to employ multiple analysts and leave each of them free to follow their own approach. Here, we present consensus-based guidance for conducting and reporting such multi-analyst studies, and we discuss how broader adoption of the multi-analyst approach has the potential to strengthen the robustness of results and conclusions obtained from analyses of datasets in basic and applied research.
format article
author Balazs Aczel
Barnabas Szaszi
Gustav Nilsonne
Olmo R van den Akker
Casper J Albers
Marcel ALM van Assen
Jojanneke A Bastiaansen
Daniel Benjamin
Udo Boehm
Rotem Botvinik-Nezer
Laura F Bringmann
Niko A Busch
Emmanuel Caruyer
Andrea M Cataldo
Nelson Cowan
Andrew Delios
Noah NN van Dongen
Chris Donkin
Johnny B van Doorn
Anna Dreber
Gilles Dutilh
Gary F Egan
Morton Ann Gernsbacher
Rink Hoekstra
Sabine Hoffmann
Felix Holzmeister
Juergen Huber
Magnus Johannesson
Kai J Jonas
Alexander T Kindel
Michael Kirchler
Yoram K Kunkels
D Stephen Lindsay
Jean-Francois Mangin
Dora Matzke
Marcus R Munafò
Ben R Newell
Brian A Nosek
Russell A Poldrack
Don van Ravenzwaaij
Jörg Rieskamp
Matthew J Salganik
Alexandra Sarafoglou
Tom Schonberg
Martin Schweinsberg
David Shanks
Raphael Silberzahn
Daniel J Simons
Barbara A Spellman
Samuel St-Jean
Jeffrey J Starns
Eric Luis Uhlmann
Jelte Wicherts
Eric-Jan Wagenmakers
author_facet Balazs Aczel
Barnabas Szaszi
Gustav Nilsonne
Olmo R van den Akker
Casper J Albers
Marcel ALM van Assen
Jojanneke A Bastiaansen
Daniel Benjamin
Udo Boehm
Rotem Botvinik-Nezer
Laura F Bringmann
Niko A Busch
Emmanuel Caruyer
Andrea M Cataldo
Nelson Cowan
Andrew Delios
Noah NN van Dongen
Chris Donkin
Johnny B van Doorn
Anna Dreber
Gilles Dutilh
Gary F Egan
Morton Ann Gernsbacher
Rink Hoekstra
Sabine Hoffmann
Felix Holzmeister
Juergen Huber
Magnus Johannesson
Kai J Jonas
Alexander T Kindel
Michael Kirchler
Yoram K Kunkels
D Stephen Lindsay
Jean-Francois Mangin
Dora Matzke
Marcus R Munafò
Ben R Newell
Brian A Nosek
Russell A Poldrack
Don van Ravenzwaaij
Jörg Rieskamp
Matthew J Salganik
Alexandra Sarafoglou
Tom Schonberg
Martin Schweinsberg
David Shanks
Raphael Silberzahn
Daniel J Simons
Barbara A Spellman
Samuel St-Jean
Jeffrey J Starns
Eric Luis Uhlmann
Jelte Wicherts
Eric-Jan Wagenmakers
author_sort Balazs Aczel
title Consensus-based guidance for conducting and reporting multi-analyst studies
title_short Consensus-based guidance for conducting and reporting multi-analyst studies
title_full Consensus-based guidance for conducting and reporting multi-analyst studies
title_fullStr Consensus-based guidance for conducting and reporting multi-analyst studies
title_full_unstemmed Consensus-based guidance for conducting and reporting multi-analyst studies
title_sort consensus-based guidance for conducting and reporting multi-analyst studies
publisher eLife Sciences Publications Ltd
publishDate 2021
url https://doaj.org/article/2f33a9be099441798c65209457b94d1c
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